Discover the top five best data visualization tools in 2024 that empower businesses to transform data into actionable insights effortlessly.
Table of Contents
Introduction
1. Tableau
2. LookerML
3. Qlik Sense
4. Klipfolio
5. Microsoft Power BI
Conclusion
Introduction
In the data-driven world, data visualization is the ultimate BI tool that takes large datasets from numerous sources, aiding data visualization engineers to analyze data and visualize it into actionable insights. In the data analysis process, data visualization is the final chapter that includes a variety of graphs, charts, and histograms in the form of reports and dashboards to make the data more friendly and understandable.
Therefore, to create a data analysis report that stands out, AITechPark has accumulated the top five most popular data visualization tools. These data visualization tools will assist data visualization engineers, further help businesses understand their needs, and provide real-time solutions to streamline the business process.
1. Tableau
Tableau is one of the most popular data visualization tools used by data scientists and analysts to create customized charts and complex visualizations. The users can connect the data sources, which include databases, spreadsheets, cloud services, and other big data references, allowing them to import and transform data for their analysis. However, Tableau is not the right tool for data creation and preprocessing, as it does not support spreadsheet tools for multi-layered operations. Tableau is expensive when compared to other data visualization tools on the market. The cost of Tableau subscriptions varies; for instance, Tableau Public and Tableau Reader are free, while Tableau Desktop is available for $70/user/month, Tableau Explorer for $42/user/month, and Tableau Viewer for $15/user/month.
2. LookerML
LookerML is a powerful tool that helps data teams visualize capabilities and data inputs and create a powerful modeling layer that allows them to turn SQL into object-oriented code. To keep the workflow up and running without any challenges, teams can take advantage of Looker Blocks, a robust library of analytics code. However, beginners will still need some apprenticeship to learn the art of data visualization before working with Looker, as it provides complicated tools that might be difficult to understand at first glance. The tool also comes with pre-defined built-in visualizations that have some fixed standards and specifications, giving limited options for customization. The pricing varies from $5,000 per month to $7,000 per month, depending on the size and usage of the tool.
3. Qlik Sense
Qlik Sense is a one-stop data visualization platform for data teams that provides an associative data analytics engine with a sophisticated AI system and a scalable multi-cloud architecture to deploy a mixture of SaaS, private, and on-premises cloud. The data team can combine, visualize, explore, and load datasets on Qlik Sense to create data charts, tables, and visualizations, further instantly updating itself according to the new data context. However, Qlik Sense has some major drawbacks, such as having fewer collaboration features, which are not sufficient for data visual engineers to perform tasks when compared to other competitors’ tools. On a trial basis, Qlik Sense Business is free for 30 days, and then it moves to paid versions that vary from $20 per month per user to $2700 per month for unlimited basic users.
4. Klipfolio
Klipfolio is one of the data visualization tools in Canada as it allows data visualization engineers to access their data from multiple sources, such as databases, files, and web service applications, as connectors. The tool allows users to create custom drag-and-drop data visualizations where they can choose from different options like charts, graphs, scatter plots, etc. Klipfolo also creates KPI-based dashboards that enable companies to get a glimpse of their business performance. However, the weakness of the tool is that it only functions online and gets disrupted when the internet connection is unstable. Klipfolio also has a limited variety of data sources when compared to other data visualization tools on our list. In terms of pricing, Klipfolio offers a free trial of 14 days, followed by $49 per month for the basic business plan.
5. Microsoft Power BI
Microsoft’s Power BI is an easy-to-use data visualization tool that is available both for deployment and on-premise installation on the cloud infrastructure. The tool is complete within itself, as it supports a myriad of backend databases, such as Teradata, Salesforce, PostgreSQL, Oracle, Google Analytics, Github, Adobe Analytics, Azure, SQL Server, and Excel. According to users, Power BI tends to be praised for its ability to flow data and its modeling capabilities, making it one of the strong contenders in the data modeling and infrastructure markets. However, Power BI lacks visualization as there are fewer customization alternatives than other data visualization tools on our list. The price of Microsoft Power BI is quite pocket-friendly at $9.99 per user and can extend up to $15.99 per user, depending on the package.
Conclusion
With the growing reliance on data volume available in the market, organizations have started realizing the power of data analytics, which can source real-time data internally and externally as a predictive and prescriptive source. However, to improve data analysis and visualization, engineers are required to select the right tool that aligns with their business goals and needs. Opting for the right tool will help in curating the vast amount of information without human error, eventually aiding in streamlining businesses.
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